QuickChart Documentation

QuickChart is a web service that generates chart images on-the-fly. These images are suitable for embedding in email, SMS, chatbots, and other formats. Charts are rendered by Chart.js, a popular open-source charting library.

Do you have questions? Don't hesitate to send us a message or open a Github issue.

Getting Started

QuickChart works by taking Chart.js configurations and rendering them on the backend as an image. You may send your chart configuration using HTTP GET or POST requests.

For example, take this simple Chart.js configuration:

{
  type: 'bar',                                // Show a bar chart
  data: {
    labels: [2012, 2013, 2014, 2015, 2016],   // Set X-axis labels
    datasets: [{
      label: 'Users',                         // Create the 'Users' dataset
      data: [120, 60, 50, 180, 120]           // Add data to the chart
    }]
  }
}

We'll pack this Chart.js object into the /chart endpoint URL:

https://quickchart.io/chart?c={type:'bar',data:{labels:[2012,2013,2014,2015,2016],datasets:[{label:'Users',data:[120,60,50,180,120]}]}}

The URL generates this chart image, a rendering of the Chart.js config above:

You can easily make adjustments to this example: try editing the chart and replacing "bar" with "line" or "pie" to get different types of chart, change the legend labels, or add another dataset to get a grouped bar chart.

Because QuickChart is built on open-source chart libraries, our charts are flexible and highly customizable. Explore the documentation below to learn more or view more examples.

Chart API Parameters

The chart endpoint https://quickchart.io/chart accepts these query parameters:

• chart: Javascript/JSON definition of the chart. Use a Chart.js configuration object. Abbreviated as "c"

  You should URL-encode your chart configuration. If not encoded, you may run into problems with special characters or syntax errors in your program. You may also use base64 encoding (see encoding option).

• width=500: Width of the image. Abbreviated as "w"
• height=300: Height of the image. Abbreviated as "h"
• devicePixelRatio=2.0: Device pixel ratio of the output (defaults to retina=2.0). Width and height are multiplied by this value.
• backgroundColor=transparent: Background of the chart canvas. Accepts rgb (rgb(255,255,120)), colors (red), and url-encoded hex values (%23ff00ff). Abbreviated as "bkg"
• format=png: Format of your output. Supported output formats are PNG, WebP, and PDF. Abbreviated as "f"
• encoding=url: Encoding of your "chart" parameter. Accepted values are url and base64.
• version=2.9.3: Chart.js version to use. Currently only 2.9.3 is supported.

Combine these parameters in your query string. For example: /chart?width=500&height=300&format=pdf&c={...}. If you are using Javascript or Python, you also have the option of using a client library instead of constructing the URL yourself.

Advanced API

POST endpoint

If your chart is large or complicated, you may prefer to send a POST request rather than a GET request. This avoids limitations on URL length and means you don't have to worry about URL encoding. The /chart POST endpoint takes the same parameters as above via the following JSON object:

{
  "backgroundColor": "transparent",
  "width": 500,
  "height": 300,
  "format": "png",
  "chart": {...},
}

Note that if you want to include Javascript code in chart (e.g. to format labels), you'll have to send the entire chart parameter as a string rather than a JSON object. For examples, see documentation on using JS Functions.

Short URLs

You may want to create a shorter URL for your charts, especially if you are sending them via email or SMS. To generate a short URL for your chart, send a POST request to https://quickchart.io/chart/create per the above POST spec.

Here's an example using curl. You can use any library that sends an HTTP POST request:

curl -X POST \
     -H 'Content-Type: application/json' \
     -d '{"chart": {"type": "bar", "data": {"labels": ["Hello", "World"], "datasets": [{"label": "Foo", "data": [1, 2]}]}}}' \
     https://quickchart.io/chart/create

Here's an equivalent request using Python:

import json
import requests

quickchart_url = 'https://quickchart.io/chart/create'
post_data = {'chart': {'type': 'bar', 'data': {'labels': ['Hello', 'World'],
             'datasets': [{'label': 'Foo', 'data': [1, 2]}]}}}

response = requests.post(
    quickchart_url,
    json=post_data,
)

if (response.status_code != 200):
    print('Error:', response.text)
else:
    chart_response = json.loads(response.text)
    print(chart_response)

You will get a response that looks like this:

{
  "success": true,
  "url": "https://quickchart.io/chart/render/9a560ba4-ab71-4d1e-89ea-ce4741e9d232"
}

Go to the url in the response to render your chart.

Note the following caveats:

• Request inputs are not validated before the URL is created. The chart is only rendered when the URL is visited.
• If your chart includes Javascript, you must supply your chart definition as a string.
• Saved charts expire after 3 days for free users, 6 months for paid users.

---

Client libraries

Using QuickChart is just a matter of creating a simple URL or using an HTTP request, so a client library is not a requirement. We've released several optional client libraries for your convenience:

Javascript/Node

Run npm install quickchart-js to install the QuickChart dependency. Use it like so:

const QuickChart = require('quickchart-js');

const myChart = new QuickChart();
myChart
  .setConfig({
    type: 'bar',
    data: { labels: ['Hello world', 'Foo bar'], datasets: [{ label: 'Foo', data: [1, 2] }] },
  })
  .setWidth(800)
  .setHeight(400)
  .setBackgroundColor('transparent');

// Print the chart URL
console.log(myChart.getUrl());

Get more details on the quickchart-js project page.

Python

Run pip install quickchart.io to install the QuickChart dependency. Use it like so:

from quickchart import QuickChart

qc = QuickChart()
qc.width = 500
qc.height = 300
qc.device_pixel_ratio = 2.0
qc.config = {
    "type": "bar",
    "data": {
        "labels": ["Hello world", "Test"],
        "datasets": [{
            "label": "Foo",
            "data": [1, 2]
        }]
    }
}

# Print the chart URL
print(qc.get_url())

See more details on the quickchart-python project page.

Ruby

Run gem install quickchart to install the QuickChart Ruby gem:

require 'quickchart'

qc = QuickChart.new(
  {
    type: "bar",
    data: {
      labels: ["Hello world", "Test"],
      datasets: [{
        label: "Foo",
        data: [1, 2]
      }]
    }
  },
  width: 600,
  height: 300,
  device_pixel_ratio: 2.0,
)

# Print the chart URL
puts qc.get_url

Learn more about chart generation in Ruby at the quickchart-ruby repository.

Chart Gallery

We've created dozens of examples of different charts that you can edit interactively.

View the chart gallery

Chart Types

For a variety of useful editable examples, see the chart gallery.

Customization can be very simple. By changing type: bar to type: line, for example, we can instantly produce an equivalent line graph:

There are many other chart types as well:

You can combine charts together by specifying different "types":

QR codes

This web service supports QR code generation. You can render a QR code like so:

Remember the URL-encode your text parameter for more complex strings. The QR endpoint produces a PNG image by default. You may optionally set the query parameter format=svg for SVG format.

Specify the whitespace around QR image in modules with query parameter margin (defaults to 4), size in pixels of the square QR image (defaults to 150), and error correction level with ecLevel=M (valid values: L, M, Q, H).

If you'd like to customize the color of your QR code, use dark=000000 and light=ffffff. The parameters must be hex color codes. Here's the same code as above but with slimmer margins, more error protection, and colors:

---

Using Javascript functions

Simple chart configs are defined using only JSON, but more complex chart configs may include Javascript functions. QuickChart accepts charts containing Javascript.

If you're using a GET request, all you need to do is include your function in the chart definition. If you're using a POST request, make sure you send the chart parameter as a string rather than a JSON object.

Example

You may POST the following data. Note that this payload is valid JSON and the chart object is a string containing Javascript or JSON:

{
  "backgroundColor": "transparent",
  "width": 500,
  "height": 300,
  "format": "png",
  "chart": "{type:'bar',data:{labels:['January','February','March','April','May'],datasets:[{label:'Dogs',data:[50,60,70,180,190]}]},options:{scales:{yAxes:[{ticks:{callback:function(value){return'$'+value;}}}]}}}"
}

Put the above JSON in a file called chart_request.json and send it via curl:

$ curl -X POST \
     -H "Content-Type: application/json" \
     -d @chart_request.json \
     'https://quickchart.io/chart' > chart.png

Or use any other programming language's ability to send an HTTP POST request.

Building chart objects in Javascript

Below are a few Javascript examples showing how to build a chart definition containing a function:

Option 1: Build the config as a string, not an object. This is the most straightforward way.

const chartStr = `{
  type: 'bar',
  data: {
    labels: ['January', 'February', 'March', 'April', 'May'],
    datasets: [{
      label: 'Dogs',
      data: [ 50, 60, 70, 180, 190 ]
    }]
  },
  options: {
    scales: {
      yAxes: [{
        ticks: {
          callback: function(value) {
            return '$' + value;
          }
        }
      }],
    },
  },
}`;

console.log(encodeURIComponent(chartStr));

Option 2: Construct your chart as a JSON object. Later, substitute your Javascript function.

const chartObj = {
  type: 'bar',
  data: {
    labels: ['January', 'February', 'March', 'April', 'May'],
    datasets: [{
      label: 'Dogs',
      data: [ 50, 60, 70, 180, 190 ]
    }]
  },
  options: {
    scales: {
      yAxes: [{
        ticks: {
          callback: '',
        }
      }],
    },
  },
};

const myFormatterFunction = function(value) {
  return "$" + value
};
const chartStr = JSON.stringify(chartObj).replace('""', myFormatterFunction.toString());

console.log(encodeURIComponent(chartStr));

Option 3: Serialize a normal Javascript object containing a function using javascript-stringify. This is probably the easiest to work with but it requires an external dependency.

const { stringify } = require('javascript-stringify');

const chartObj = {
  type: 'bar',
  data: {
    labels: ['January', 'February', 'March', 'April', 'May'],
    datasets: [{
      label: 'Dogs',
      data: [ 50, 60, 70, 180, 190 ]
    }]
  },
  options: {
    scales: {
      yAxes: [{
        ticks: {
          callback: function(value) {
            return '$' + value;
          }
        }
      }],
    },
  },
};

console.log(encodeURIComponent(stringify(chartObj)));

---

Using Chart.js plugins and addons

QuickChart comes with several Chart.js plugins pre-installed. They are:

• chartjs-plugin-datalabels - add highly customized data labels
• chartjs-plugin-annotation - add annotations, lines, and text
• chartjs-plugin-piechart-outlabels - add labels outside your pie graph
• chartjs-chart-radial-gauge - adds the radialGauge chart type
• chartjs-chart-box-and-violin-plot - adds the boxPlot, horizontalBoxPlot, violin, and horizontalViolin chart types
• chartjs-plugin-doughnutlabel - ability to display text in the center of doughnut charts

Use these plugins as you please in your chart config - no need to import anything extra.

Add custom plugins

As with any Chart.js chart, it's possible to add custom inline plugins by setting the plugins attribute in your chart config. Setting a custom plugins object will override the plugins built into QuickChart.

Here's an example that adds some extra space between a pie chart and its legend. Note that the global Chart object is available to the plugin:

{
  "type": "pie",
  "data": {
    "labels": ["Yes", "No", "Maybe"],
    "datasets": [{
      "backgroundColor": ["#FF3784", "#36A2EB", "#4BC0C0"],
      "data": [3, 24, 12]
    }]
  },
  "plugins": [{
    "beforeInit": function(chart, options) {
      Chart.Legend.prototype.afterFit = function() {
        // Add 50 pixels of height below the legend.
        this.height = this.height + 50;
      };
    }
  }]
}

Plugins: Annotations and Labels

In order to extend annotation and labeling capabilities beyond Chart.js defaults, we provide three additional Chart.js plugins: Data Labels (chartjs-plugin-datalabels), Annotations (chartjs-plugin-annotation), and Outlabels (chartjs-plugin-piechart-outlabels). These allow you to add various markup to your chart. Have a look at the documentation for each plugin to learn more about the possibilities.

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Frequently Asked Questions

How can I make my chart look like X?

QuickChart uses the popular open-source Chart.js library, so you can use all Chart.js documentation and Chart.js-related search terms to answer questions on how to customize your chart. If you're stuck, feel free to email us.

Do I need a license to use QuickChart?

Users of QuickChart's paid versions retain full copyright to images they generate. Charts generated by QuickChart's free version are public domain.

If you'd like to fork the code, keep in mind this project is licensed under GPLv3 and you should make your code public and retain the copyright notice. If you'd like to license QuickChart privately or commercially, or if you'd like help setting up a private instance, please get in touch.

Is this a suitable replacement for Google Image Charts?

This service is a replacement for the Google Image Charts API, which turned off on March 14, 2019. QuickChart provides a drop-in replacement for Google Image Charts documented here.

QuickChart encourages the use of Chart.js format over the deprecated Google Image Charts format. Although Chart.js doesn't match exactly with the Google Image Charts API, it is a more flexible, general-purpose charting specification. Both Chart.js and QuickChart have strong open-source communities.

We encourage developers to choose a fully open-source solution over proprietary services in order to mitigate risk and future-proof their choice of API.

How reliable is QuickChart?

This site (QuickChart.io) is widely used and generates over 16 million charts per month. It is hosted on a large cluster of redundant servers. There is a built-in rate limit of 60 charts/min (1 chart/sec) per IP for free users.

If you want to adjust rate limits or need a Service-Level Agreement with uptime guarantees, purchase a license or get in touch.

See also the QuickChart status page, which monitors uptime.

How can I contribute?

QuickChart is under active development. If you'd like to suggest a feature or modify QuickChart code, please open an issue or pull request on the QuickChart Github.